Background Spontaneous pneumomediastinum, pneumothorax and spontaneous subcutaneous emphysema are rare entities. A rising trend in the setting of COVID-19 even in patients who are not put on invasive ventilation can suggest an alternative aetiology. Case presentation We describe four cases which presented with suspected symptoms of COVID-19 and were diagnosed with pneumomediastinum, pneumothorax, and subcutaneous emphysema which would have been missed if not for computed tomography scan performed at the time of admission. Three of these cases had no prior history of any iatrogenic intervention, and the fourth person developing pneumothorax and subcutaneous emphysema after intubation. Conclusions Pneumomediastinum, pneumothorax and subcutaneous emphysema can be noted as a complication of COVID-19 itself as well as the complication of management of COVID-19.

Background: The objectives were to perform an analysis of lung ultrasonography (LUS) findings in severely ill patients with novel coronavirus disease-2019 (COVID-19) and to compare the accuracy with high-resolution computed tomography (HRCT) of the thorax. Methods: Sixty-two intensive care unit (ICU) patients with COVID-19 were evaluated during their hospital stay. LUS was performed with convex and linear transducers using a designated ultrasonography machine placed in the COVID-19 ICU. The thorax was scanned in 12 areas. Initial LUS was performed on admission and follow-up LUS was done in 7 (mean) days. At the time of the initial LUS, HRCT was performed in 28/62 patients and a chest radiography in 19/62 patients. Results: On admission, LUS detected pleural line thickening (>6 lung areas) in 49/62, confluent B-lines in 38/62, and separate B-lines in 34/62, consolidation in 12/62, C prime profile in 19/62, and pleural and cardiac effusions in 4/62 and 1/62, respectively. The single beam “torchlight” artifact was seen in 16/62, which may possibly be a variation of the B-line which has not been described earlier. Follow-up LUS detected significantly lower rates ( P < 0.05) of abnormalities. Conclusion: Ultrasound demonstrated B-lines, variable consolidations, and pleural line irregularities. This study also sheds light on the appearance of the C prime pattern and “torchlight” B-lines which were not described in COVID-19 earlier. LUS findings were significantly reduced by the time of the follow-up scan, insinuating at a rather slow but consistent reduction in some COVID-19 lung lesions. However, the lung ultrasound poorly correlated with HRCT as a diagnostic modality in COVID-19 patients.

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Extramedullary hematopoiesis (EMH) is a rare compensatory process associated with many hematologic disorders and bone marrow dysfunction. Through this article, we aim to present various imaging features of EMH and its complications including spinal cord compression. Three cases of EMH in hemoglobinopathies (thalassemia and sickle cell anemia) have been described. Cases 1 and 2 of our series include paraspinal masses causing cord compression. Case 1 of thalassemia intermedia presented with various skeletal deformities in long bones, skull, and facial bones (Chipmunk facies). Case 2 was diagnosed with extrapleural lung mass with other paraspinal lesions. Case 3 presented with multiple enlarged retroperitoneal lymph nodes due to EMH. Common and uncommon imaging features of EMH have been described. Lymph node involvement was difficult to diagnose as it mimicked tubercular and neoplastic etiologies; hence, histopathological diagnosis was mandatory.

Background High-resolution computed tomography (HRCT) chest becomes a valuable diagnostic tool for identifying patients infected with Coronavirus Disease 2019 (COVID-19) in the early stage, where patients may be asymptomatic or with non-specific pulmonary symptoms. An early diagnosis of COVID-19 is of utmost importance, so that patients can be isolated and treated in time, eventually preventing spread of the disease, improving the prognosis and reducing the mortality. In this paper, we have highlighted our radiological experience of dealing with the pandemic crisis of 2020 through the study of HRCT thorax, lung ultrasonography, chest X-rays and artificial intelligence (AI). Results Results of CT thorax analysis have been given in detail. We had also compared CT severity score (CTSS) with clinical and laboratory parameters. Correlation of CTSS with SpO2 values and comorbidities was also studied. We also analysed manual CTSS with the CTSS scored calculated by the AI software. Conclusions CTSS and use of COVID-19 Reporting and Data System (CORADS) result in accuracy and uniform percolation of information among the clinicians. Bed-side X-rays and ultrasonography have played a role where the patients could not be shifted for CT scan. The possibility of predicting impending or progression of hypoxia was not possible when SpO2 mapping was correlated with the CTSS. AI was alternatively tried with available software (CT pneumonia analysis) which was not so appropriate considering the imaging patterns in the bulk of atypical category.